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Duration 40 hours
Course Outline
1. Product Conceptualization
- Identifying customer needs
- Conducting market and competitor analysis
- Assessing the market size related to the specific customer problem or need
- User segmentation and persona development
- Establishing product vision, purpose, and strategic direction
- Prioritization based on value and effort
- Creating value maps and defining desired outcomes
2. Product Creation
- User-centered design approaches (UX/UI)
- Incremental and iterative development using cross-functional Scrum teams
- Managing backlogs and drafting user stories
- Early-stage validation methods (MVPs and experiments)
- Establishing key product metrics
- Applied Design Thinking workshop
- Prompt engineering for leaders (applying AI to products)
- Data-informed design processes
- Service design blueprints (service mapping)
- Backlog management and prioritization (expert-led session)
3. Product Delivery to Customers
- Managing releases and product roadmaps
- Developing go-to-market strategies
- Customer onboarding and post-launch experience measurement
- Collecting feedback in live environments
- Aligning efforts with marketing and sales teams
- Constructing the product funnel and monitoring dashboards
4. Value Capture
- Tracking product metrics (NPS, DAU, retention, and others)
- Developing monetization and pricing models
- Analyzing the conversion funnel
- Evaluating customer value (LTV, CAC, ROI)
- Iterative improvement based on data insights
- Managing the product lifecycle
- Ensuring product scalability and sustainability
- Product Profit & Loss (P&L) analysis
- Building the business case
Summary and Next Steps
Requirements
- A solid grasp of banking operations
- Practical experience in digital product development
- Basic knowledge of AI principles
Target Audience
- Product managers within the banking industry
- Leaders driving digital transformation
- Banking professionals engaged in AI-driven product design
Testimonials (1)
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